Goal-directed Planning

Goal-Directed Planning is a trajectory generation method that systematically determines a sequence of actions or states to achieve a specified goal by integrating goal conditions into the planning process, distinguishing it from reactive or exploratory planning approaches.

383

Publications

24.2K

Citations

1K

Authors

451

Institutions

Publications per year

2017–2026

88

Authors

1K

  1. SL
    Sergey Levine

    University of California, Berkeley, United States

    7 publications · 409 citations

    7

    h-index

  2. DW
    David W. Aha

    United States Naval Research Laboratory, United States

    7 publications · 257 citations

    7

    h-index

  3. SK
    Subbarao Kambhampati

    Arizona State University, United States

    6 publications · 241 citations

    6

    h-index

  4. HG
    Héctor Geffner

    Universitat Pompeu Fabra, Spain

    5 publications · 370 citations

    5

    h-index

  5. SA
    Sheila A. McIlraith

    University of Toronto, Canada

    5 publications · 217 citations

    5

    h-index

1–5 of 1K

Venues

  1. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 13 publications · 421 citations

    12

    h-index

  2. International Joint Conference on Artificial Intelligence

    Conference · 10 publications · 417 citations

    10

    h-index

  3. 9

    h-index

  4. arXiv (Cornell University)

    Repository · 7 publications · 364 citations

    7

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 7 publications · 958 citations

    7

    h-index

1–5